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Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability

Author Martin Wollschlaeger , Guy Doumeingts , Frank-Walter Jaekel , Martin Zelm
Release Date: 2018/12/01
ISBN: 9781786303738
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Book Description

The ability of future industry to create interactive, flexible and always-on connections between design, manufacturing and supply is an ongoing challenge, affecting competitiveness, efficiency and resourcing. The goal of enterprise interoperability (EI) research is therefore to address the effectiveness of solutions that will successfully prepare organizations for the advent and uptake of new technologies.

This volume outlines results and practical concepts from recent and ongoing European research studies in EI, and examines the results of research and discussions cultivated at the I-ESA 2018 conference, “Smart services and business impact of enterprise interoperability”. The conference, designed to encourage collaboration between academic inquiry and real-world industry applications, addressed a number of advanced multidisciplinary topics including Industry 4.0, Big Data, the Internet of Things, Cloud computing, ontology, artificial intelligence, virtual reality and enterprise modelling for future “smart” manufacturing.

Readers will find this book to be a source of invaluable knowledge for enterprise architects in a range of industries and organizations.

Table of Contents

  1. Cover
  2. Introduction
  3. Preface
  4. PART 1: Embedded Intelligence
    1. Part 1 Summary: Embedded Intelligence Discussion
      1. 1 Exploiting Embedded Intelligence in Manufacturing Decision Support
        1. 1.1. Introduction
        2. 1.2. Key technologies
        3. 1.3. Concluding discussion
        4. 1.4. References
      2. 2 Test of the Industrial Internet of Things: Opening the Black Box
        1. 2.1. Introduction
        2. 2.2. Scoping
        3. 2.3. Architecture of the industrial emulator
        4. 2.4. Application case
        5. 2.5. Future work and conclusion
        6. 2.6. References
      3. 3 Intelligent Decision-support Systems in Supply Chains: Requirements Identification
        1. 3.1. Introduction
        2. 3.2. State of the art
        3. 3.3. Trends in the research area of iDSS-SC
        4. 3.4. New research challenges
        5. 3.5. Conclusions
        6. 3.6. References
      4. 4 A Total Solution Provider’s Perspective on Embedded Intelligence in Manufacturing Decision-support Systems
        1. 4.1. Introduction
        2. 4.2. Presenting knowledge for decision makers
        3. 4.3. Modeling the connectivity of products and services
        4. 4.4. Business knowledge generation
        5. 4.5. Presenting data in a “human” way
        6. 4.6. Conclusions
        7. 4.7. References
  5. PART 2: Business Impact of Enterprise Interoperability
    1. Part 2 Summary: Business Impact of Applications of Enterprise Interoperability
      1. 5 Enterprise Interoperability Management and Artifacts
        1. 5.1. Introduction
        2. 5.2. Situation and motivation
        3. 5.3. Approach
        4. 5.4. Future work and conclusion
        5. 5.5. References
      2. 6 Challenges for Adaptable Energy-efficient Production Processes
        1. 6.1. Introduction
        2. 6.2. Approach
        3. 6.3. Use case
        4. 6.4. Conclusion and outlook
        5. 6.5. Acknowledgments
        6. 6.6. References
      3. 7 Interoperability Requirements for Adaptive Production System-of-Systems
        1. 7.1. Introduction
        2. 7.2. Process interoperability requirements addressed
        3. 7.3. Engineering and design requirements addressed
        4. 7.4. Expected impact
        5. 7.5. Next steps
        6. 7.6. Acknowledgements
        7. 7.7. References
      4. 8 Platforms for the Industrial Internet of Things: Enhancing Business Models through Interoperability
        1. 8.1. Introduction
        2. 8.2. Theoretical background
        3. 8.3. Research approach
        4. 8.4. Business models component based on interoperability
        5. 8.5. Conclusion and outlook
        6. 8.6. References
  6. PART 3: Virtual Factory
    1. Part 3 Summary: Virtual Factory Operating System
      1. 9 vf-OS Architecture
        1. 9.1. Global architecture definition
        2. 9.2. Functional specification
        3. 9.3. Technical specification
        4. 9.4. Holistic security and privacy concept
        5. 9.5. Conclusions
        6. 9.6. Acknowledgements
        7. 9.7. References
      2. 10 Enablers Framework: Developing Applications Using FIWARE
        1. 10.1. Introduction
        2. 10.2. Enablers framework
        3. 10.3. Implementation scenario
        4. 10.4. Business opportunities
        5. 10.5. Conclusions and future work
        6. 10.6. Acknowledgements
        7. 10.7. References
      3. 11 vf-OS IO Toolkit
        1. 11.1. Introduction
        2. 11.2. vf-OS IO Toolkit
        3. 11.3. IO components
        4. 11.4. Containerization
        5. 11.5. Conclusions
        6. 11.6. Acknowledgements
        7. 11.7. References
      4. 12 Data Management Component for Virtual Factories Systems
        1. 12.1. Introduction
        2. 12.2. Virtual factory data and connect
        3. 12.3. Conclusions and future work
        4. 12.4. Acknowledgements
        5. 12.5. References
      5. 13 An Open Environment for Development of Manufacturing Applications on vf-OS
        1. 13.1. Introduction
        2. 13.2. vf-OAK SDK
        3. 13.3. vf-OAK Studio
        4. 13.4. Process designer
        5. 13.5. Frontend
        6. 13.6. System dashboard
        7. 13.7. Developers engagement hub
        8. 13.8. Conclusion
        9. 13.9. Acknowledgements
        10. 13.10. References
      6. 14 A Novel Approach to Software Development in the Microservice Environment of vf-OS
        1. 14.1. Introduction
        2. 14.2. vf-OS platform
        3. 14.3. Development approach
        4. 14.4. Conclusions
        5. 14.5. Acknowledgments
        6. 14.6. References
  7. PART 4: Standardization
    1. Part 4 Summary: Corporate Standardization Management
      1. 15 Standardization and Innovation: a Multipriority Approach
        1. 15.1. Mutual existence of standardization and innovation
        2. 15.2. Approaches to the balance of standardization and innovation
        3. 15.3. Acknowledgements
        4. 15.4. References
      2. 16 Why Should Interoperability R&D Work be Driven by Agile Integration and Message Standards Concerns?
        1. 16.1. Vision: rapid integration and reconfiguration of manufacturing systems
        2. 16.2. Key enabler: message standards for services integration
        3. 16.3. A major problem: simplistic practices for message standards development, use and management
        4. 16.4. Root cause: lack of support for message standards lifecycle management
        5. 16.5. Impact of the lacking message-standards LCM
        6. 16.6. Conclusion
        7. 16.7. Disclaimer
        8. 16.8. References
      3. 17 Managing IT Standardization in Government: Towards a Descriptive Reference Model
        1. 17.1. Introduction
        2. 17.2. Research background and methodology
        3. 17.3. A descriptive reference model of IT standardization in government
        4. 17.4. Application and conclusion
        5. 17.5. References
      4. 18 Review: What are the Strategies for and Benefits of Effective IT Standardization in Government?
        1. 18.1. Introduction
        2. 18.2. Research background and methodology
        3. 18.3. A framework for analysis
        4. 18.4. Application and conclusion
        5. 18.5. References
      5. 19 Licensing Terms for IoT Standard Setting: Do We Need “End-User” or “License-for-All” Concepts?
        1. 19.1. Introduction
        2. 19.2. The development of 5G and the Internet of Things standards
        3. 19.3. The concept of “use-based” licensing terms
        4. 19.4. Competition law aspects of the debate on “end-user device” versus “license for all”
        5. 19.5. Communication of the EU Commission: “Setting out the EU approach to Standard Essential Patents”
        6. 19.6. Conclusion
        7. 19.7. References
  8. PART 5: Industrial Big Data and Platforms
    1. Part 5 Summary: Industrial Big Data Platforms Enabling Enterprise Interoperability for Smart Services
      1. 20 Semantic Interoperability for the IoT: Analysis of JSON for Linked Data
        1. 20.1. Introduction
        2. 20.2. Related work
        3. 20.3. Case study design
        4. 20.4. Results
        5. 20.5. Conclusion
        6. 20.6. References
      2. 21 FIWARE for Industry: A Data-driven Reference Architecture
        1. 21.1. Introduction
        2. 21.2. Industrial reference architectures
        3. 21.3. FIWARE and the FIWARE for Industry initiative
        4. 21.4. A data-driven reference architecture for Industry 4.0
        5. 21.5. Conclusion
        6. 21.6. References
      3. 22 European Big Data Value Association Position Paper on the Smart Manufacturing Industry
        1. 22.1. Introduction
        2. 22.2. BDVA technical priorities in relation to the smart manufacturing industry
        3. 22.3. Smart manufacturing industry grand scenarios
        4. 22.4. Relation with other initiatives
        5. 22.5. Research challenges of Big Data in smart factory scenarios
        6. 22.6 Conclusion
        7. 22.7 References
      4. 23 SmTIP: A Big Data Integration Platform for Synchromodal Transport
        1. 23.1. Introduction
        2. 23.2. Domain model of synchromodal transport
        3. 23.3. SmTIP design
        4. 23.4. Prototype development and validation
        5. 23.5. Conclusion
        6. 23.6. References
      5. 24 Fault Prediction in Aerospace Product Manufacturing: A Model-based Big Data Analytics Service
        1. 24.1. Introduction
        2. 24.2. Related works
        3. 24.3. Research design
        4. 24.4 Results: tailoring the MBDAaaS framework
        5. 24.5. Conclusion
        6. 24.6. Acknowledgements
        7. 24.7. References
      6. 25 A SAREF Extension for Semantic Interoperability in the Industry and Manufacturing Domain
        1. 25.1. Introduction
        2. 25.2. SAREF extension to industry and manufacturing
        3. 25.3. Related initiatives, standards and use cases
        4. 25.4. Conclusions
        5. 25.5. References
      7. 26 A Building Information Model-centered Big Data Platform to Support Digital Transformation in the Construction Industry
        1. 26.1. Background
        2. 26.2. Problem
        3. 26.3. Goal
        4. 26.4. Approach
        5. 26.5. Solution design
        6. 26.6. Conclusion
        7. 26.7 References
      8. 27 ISBM: a Data Integration Infrastructure for IoT Applications
        1. 27.1. Introduction
        2. 27.2. ISBM architecture
        3. 27.3. The ISBM Language and services
        4. 27.4. Results
        5. 27.5. Proof of concept scenario
        6. 27.6. Conclusion
        7. 27.7 References
      9. 28 RS4IoT: a Recommender System for IoT
        1. 28.1. Introduction
        2. 28.2. RS4IoT: recommender system for the Internet-of-Things
        3. 28.3. Implementation and case study
        4. 28.4. Conclusion
        5. 28.5. References
  9. PART 6: Predictive Maintenance
    1. Part 6 Summary: Predictive Maintenance in Industry 4.0 – Methodologies, Tools and Interoperable Applications
      1. 29 Using Sensor Data for Predictive Maintenance of a Complex Transportation Asset
        1. 29.1. Introduction
        2. 29.2. Use case: maintenance of a complex transportation asset
        3. 29.3. UPTIME support for the aviation use case
        4. 29.4. Stakeholders in the transport chain
        5. 29.5. Monitoring the asset
        6. 29.6. Benefits of the UPTIME system
        7. 29.7. UPTIME architecture
        8. 29.8. Conclusion and outlook
        9. 29.9. Acknowledgements
        10. 29.10. References
      2. 30 The ProaSense Platform for Predictive Maintenance in the Automotive Lighting Equipment Industry
        1. 30.1. Introduction
        2. 30.2. The HELLA use case
        3. 30.3. The ProaSense platform and deployment in HELLA
        4. 30.4. Results and lessons learned
        5. 30.5. Conclusions and future work
        6. 30.6. Acknowledgements
        7. 30.7. References
      3. 31 Predictive Maintenance Framework: Implementation of Local and Cloud Processing for Multi-stage Prediction of CNC Machines’ Health
        1. 31.1. Introduction
        2. 31.2. Method
        3. 31.3. Approach
        4. 31.4. Acknowledgments
        5. 31.5. References
      4. 32 An Onboard Model-of-signals Approach for Condition Monitoring in Automatic Machines
        1. 32.1. Introduction
        2. 32.2. Hardware setup
        3. 32.3. System identification tools
        4. 32.4. System identification Library
        5. 32.5. OPC interface
        6. 32.6. Framework experimental evaluation
        7. 32.7. Results
        8. 32.8. Acknowledgments
        9. 32.9. References
      5. 33 Maintenance Planning Support Tool Based on Condition Monitoring with Semantic Modeling of Systems
        1. 33.1. Introduction
        2. 33.2. I-LiKe machines framework
        3. 33.3. Semantic model
        4. 33.4. Demonstration scenario
        5. 33.5. Conclusion
        6. 33.6. Acknowledgments
        7. 33.7. References
      6. 34 SERENA: Versatile Plug-and-Play Platform Enabling Remote Predictive Maintenance
        1. 34.1. Introduction
        2. 34.2. State of the art and progress beyond
        3. 34.3. Pilot case description
        4. 34.4. Acknowledgments
        5. 34.5. References
      7. 35 DRIFT: A Data-driven Failure Mode, Effects and Criticality Analysis Tool
        1. 35.1. Introduction
        2. 35.2. The DRIFT tool
        3. 35.3. DRIFT value within the UPTIME project
        4. 35.4. Predictive maintenance scenarios
        5. 35.5. Conclusion
        6. 35.6. References
      8. 36 Real-time Predictive Maintenance Based on Complex Event Processing
        1. 36.1. Introduction
        2. 36.2. CEP approach
        3. 36.3. Approach for deriving relevant events
        4. 36.4. Conclusion and outlook
        5. 36.5. References
      9. 37 The Standards as Critical Means of Integration of Advanced Maintenance Approaches to Production Systems
        1. 37.1. Introduction
        2. 37.2. The standardization landscape to be considered
        3. 37.3. First approach of standardization in UPTIME
        4. 37.4. Discussion
        5. 37.5. Conclusion
        6. 37.6. References
  10. PART 7: Industry 4.0 Qualification
    1. Part 7 Summary: Industry 4.0 Qualification: Education for the Era of Industry 4.0
      1. 38 Evaluation of Industry 4.0 Technology – Applications
        1. 38.1. Introduction
        2. 38.2. Background and approach
        3. 38.3. Evaluation process
        4. 38.4. Discussion
        5. 38.5. Acknowledgements
        6. 38.6. References
      2. 39 Improving the Efficiency of Industrial Processes with a Plug and Play IOT Data Acquisition Platform
        1. 39.1. Production efficiency
        2. 39.2. OEE realtime calculation
        3. 39.3. Use case: OEE real-time calculation of a legacy CNC machine
        4. 39.4. Conclusions
        5. 39.5. Acknowledgements
        6. 39.6. References
      3. 40 Knowledge Transfer from Students to Companies: Understanding Industry 4.0 Maturity Levels
        1. 40.1. Introduction
        2. 40.2. Context
        3. 40.3. Methodology
        4. 40.4. Case study – Industry 4.0 knowledge transfer from students to companies at University of Pisa
        5. 40.5. Final remarks
        6. 40.6. References
  11. PART 8: Enterprise Modeling and Simulation
    1. Part 8 Summary: Modeling and Simulation in Designing Advanced Manufacturing Systems
      1. 41 Developing an Enterprise Modeling Ontology
        1. 41.1. Introduction
        2. 41.2. Related work
        3. 41.3. Research methodology
        4. 41.4. Preliminary result
        5. 41.5. Discussion
        6. 41.6. Conclusion
        7. 41.7. Acknowledgements
        8. 41.8. References
      2. 42 Model-driven Requirements Elicitation for Manufacturing System Development
        1. 42.1. Introduction
        2. 42.2. Methodology
        3. 42.3. Case study
        4. 42.4. Conclusions and discussions
        5. 42.5. Acknowledgments
        6. 42.6. References
      3. 43 A Comprehensive Architecture to Integrate Modeling and Simulation Solutions in CPPS
        1. 43.1. Introduction
        2. 43.2. Literature review
        3. 43.3. Business experiments in CPPS architecture
        4. 43.4. Conclusion and future work
        5. 43.5. Acknowledgments
        6. 43.6. References
      4. 44 Modeling and Simulation of Decision Systems
        1. 44.1. Introduction
        2. 44.2. Decision systems modeling: the GRAI model
        3. 44.3. Decision systems simulation: the DGRAI model
        4. 44.4. The DGRAI software tool
        5. 44.5. References
  12. PART 9: Methods and Tools for Product-Service Systems
    1. Part 9 Summary: Methods and Tools to Support the Development of Product-Service Systems
      1. 45 Identifying New PSS Concepts: the Product-Service Concept Tree
        1. 45.1. Introduction
        2. 45.2. The PSSLDM methodology
        3. 45.3. Solution concept design
        4. 45.4. Conclusion
        5. 45.5. Acknowledgements
        6. 45.6. References
      2. 46 Role of Enterprise Strategy in Product-Service System Innovation Process
        1. 46.1. Introduction
        2. 46.2. PSS Innovation Process
        3. 46.3. PSS Innovation Orientation
        4. 46.4. Case study
        5. 46.5. Conclusion and discussion
        6. 46.6. Acknowledgments
        7. 46.7. References
      3. 47 Technological and Organizational Pathways towards 2025 Collaborative Product-Service Connected Factories of the Future
        1. 47.1. Introduction
        2. 47.2. The Product-Service persona: challenges and solutions from the PSYMBIOSYS project
        3. 47.3. The Product-Service persona: challenges and solutions from the ICP4LIFE project
        4. 47.4. Conclusion
        5. 47.5. References
      4. 48 Circular Engineering and Product-Service Systems in the Machine Tool Sector: the PSYMBIOSYS Approach
        1. 48.1. Introduction
        2. 48.2. PSS and sustainability
        3. 48.3. Cutting tool challenge and PSS approach
        4. 48.4. PSS NECO
        5. 48.5. Conclusion
        6. 48.6. References
  13. PART 10: Interoperability for Crisis Management
    1. Part 10 Summary: Interoperability for Crisis Management: Increasing Resilience of Smart Cities
      1. 49 Assessment of Climate Change-related Risks and Vulnerabilities in Cities and Urban Environments
        1. 49.1. Introduction
        2. 49.2. A risk-oriented vulnerability assessment method
        3. 49.3. Tool support for risk-based vulnerability assessment
        4. 49.4. Conclusions
        5. 49.5. Acknowledgements
        6. 49.6. References
      2. 50 Semantic Interoperability of Early Warning Systems: a Systematic Literature Review
        1. 50.1. Introduction
        2. 50.2. Systematic literature review
        3. 50.3. Interoperable EWS architecture
        4. 50.4. Data representation for crisis management
        5. 50.5. Conclusion
        6. 50.6. References
      3. 51 Towards Semantic Generation of Geolocalized Models of Risk
        1. 51.1. Introduction
        2. 51.2. System architecture for geolocalized risk assessment based on semantics
        3. 51.3. Interoperability issues
        4. 51.4. Usage scenarios
        5. 51.5. Conclusion
        6. 51.6. References
      4. 52 An Ontology-based Emergency Response System for Interoperability in a Crisis Situation in Smart Cities
        1. 52.1. Introduction
        2. 52.2. The proposed solution
        3. 52.3. POLARISC ontology
        4. 52.4. Conclusion and future work
        5. 52.5. Acknowledgments
        6. 52.6. References
      5. 53 Analyzing Interoperability in a Nonfunctional Requirements Ecosystem to Support Crisis Management Response
        1. 53.1. Introduction
        2. 53.2. Problem statement and expected outcomes
        3. 53.3. Interoperability analysis in an -ilities ecosystem
        4. 53.4. Conclusion and prospects
        5. 53.5. References
  14. PART 11: I-ESA 2018 Doctoral Symposium
    1. Part 11 Summary: Current Research in Enterprise Interoperability
      1. 54 Providing the Flexibility of the Shop Floor to Information Systems for Monitoring Tasks
        1. 54.1. Introduction
        2. 54.2. Related Work
        3. 54.3. Used technologies
        4. 54.4. Solution approach
        5. 54.5. Conclusions
        6. 54.6. References
      2. 55 Shop Floor Management Systems in Case of Increasing Process Variation
        1. 55.1. Introduction and shop-floor management
        2. 55.2. Fundamental change towards cyber physical production systems
        3. 55.3. Characteristics for digital performance boards on CPPS
        4. 55.4. Research question and outlook
        5. 55.5. References
      3. 56 Comprehensive Function Models for the Management of Heterogeneous Industrial Networks as an Enabler for Interoperability
        1. 56.1. Problem formulation
        2. 56.2. Research hypothesis
        3. 56.3. Proposed solution
        4. 56.4. Expected contributions
        5. 56.5. References
  15. List of Authors
  16. Index
  17. End User License Agreement
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